Fabio Carrara

1.7k citations
45 papers · 898 indexed · h-index 14
Topics
Multimodal Machine Learning Applications (10 papers)Advanced Image and Video Retrieval Techniques (10 papers)Adversarial Robustness in Machine Learning (9 papers)
Partner nations
ItalyCzechiaAustria

In The Last Decade

Fabio Carrara

43 papers receiving 852 citations

Peers

Fabio Carrara
Comparison fields: 5 of 117
  • Computer Vision and Pattern Recognition 382
  • Building and Construction 323
  • Artificial Intelligence 266
  • Media Technology 222
  • Automotive Engineering 82
Replace Claudio Gennaro with:
Claudio Gennaro Italy
Kaushik Deb Bangladesh
S. Indu India
Ali Wali Tunisia
Yahia Said Saudi Arabia
Mingtao Pei China
M. A. H. Akhand Bangladesh
Jiawei Xu China
Di Zang China
Fabio Carrara relative to Claudio Gennaro Italy Claudio Gennaro's profile →
Citations per field
00.5×1.5×
Claudio Gennaro · 1×
Citations per year

Countries citing papers authored by Fabio Carrara

Since Specialization
Citations

This map shows the geographic impact of Fabio Carrara's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Fabio Carrara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fabio Carrara more than expected).

Fields of papers citing papers by Fabio Carrara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fabio Carrara. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Fabio Carrara. The network helps show where Fabio Carrara may publish in the future.

Co-authorship network of co-authors of Fabio Carrara

This figure shows the co-authorship network connecting the top 25 collaborators of Fabio Carrara. A scholar is included among the top collaborators of Fabio Carrara based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Fabio Carrara. Fabio Carrara is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 7
2 1
3 0
4 3
5 2
6 5
7 2
8 3
9 41
10 2
11 3
12 9
13 7
14 13
15 18
16 14
17 18
18 22
19 10
20
Detecting Adversarial Inputs by Looking in the Black Box.
1

About Fabio Carrara

Fabio Carrara is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing, having authored 45 papers that have together received 898 indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (10 papers), Advanced Image and Video Retrieval Techniques (10 papers) and Adversarial Robustness in Machine Learning (9 papers). The work is most often cited by research in Media Technology (222 citations), Building and Construction (323 citations) and Computer Vision and Pattern Recognition (382 citations). Fabio Carrara has collaborated with scholars based in Italy, Czechia and Austria. Frequent co-authors include Fabrizio Falchi, Giuseppe Amato, Claudio Gennaro, Claudio Vairo, Carlo Meghini, Lucia Vadicamo, Roberto Caldelli, Stefano Cresci, Jan Sedmidubský and Maurizio Tesconi. Their work appears in journals such as Human Molecular Genetics, Expert Systems with Applications and IEEE Access.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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